What is Google Cloud Vertex AI?
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
89 Likeliness to Recommend
98 Plan to Renew
79 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+94 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Google Cloud Vertex AI?
Pros
- Performance Enhancing
- Reliable
- Inspires Innovation
- Respectful
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Model Training
Data Exploration and Visualization
Explainability
Model Monitoring and Management
Pre-Packaged AI/ML Services
Feature Engineering
Data Ingestion
Data Labeling
Openness and Flexibility
Model Tuning
Algorithm Diversity
Vendor Capability Ratings
Ease of Customization
Quality of Features
Ease of Implementation
Ease of Data Integration
Ease of IT Administration
Business Value Created
Breadth of Features
Availability and Quality of Training
Vendor Support
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Google Cloud Vertex AI Reviews
Anil T.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2023
Ecellent Service B oole Cloud
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
It is a powerful and flexible machine learning platform that simplifies the entire machine learning workflow, allowing you to build and deploy custom machine learning models with ease.
What is your favorite aspect of this product?
a range of features to help you manage and monitor your machine learning models in production, including built-in model monitoring and explainability tools, as well as integration with Google Cloud's logging and monitoring tools.
What do you dislike most about this product?
Nothing to dislike as per my knowledge and eperience.
What recommendations would you give to someone considering this product?
I hihly recommend people to use it.
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Effective Service
Ashay S.
- Role: Information Technology
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted Feb 2023
Best Cloud MLOPS solution provider
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
One of the great features is availability of more flexible and cheaper choice to combine GPU instances with powerful CPU which is especially helpful for Deep learning tasks It also has a simple feature that is shows all the instances in every region on the main console so you don't end up running VM in a different region and forget to close that as in some other providers , it improves ease of use and customer experience.
What is your favorite aspect of this product?
The best aspect is the availability of ML algorithms and integration with Cloud tools especially BigQuery which allows best method to collaborate on a data project and can handle very large amount of data
What do you dislike most about this product?
In my use I have found it to be more than helpful but it does lack in the ability to customize the algorithms for a complex tasks , it would be great if it allowed used of customized trained models.
What recommendations would you give to someone considering this product?
It is a great tool , which offers lots of tools which can help people with very little technical background to operate it for analyzing their data, getting insights , making predictions, etc.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Enables Productivity
Issac P.
- Role: Information Technology
- Industry: Manufacturing
- Involvement: End User of Application
Submitted Jan 2023
Brilliant Scalable AI Solution from Google
Likeliness to Recommend
What differentiates Google Cloud Vertex AI from other similar products?
The AUTOML feature helps to easily train develop and release a model with no code, so users with low expertise in Data Science can use this product easily with minimal ML knowledge. Supports most of the open-source libraries such as Py torch OpenCV with easy import functionality.
What is your favorite aspect of this product?
The MLOPS feature such as Vertex AI pipeline makes it really easy to maintain and run existing ML models.
What do you dislike most about this product?
The cost is on the higher side. It's a high-cost platform and users should be aware of the cost before selecting the product.
What recommendations would you give to someone considering this product?
The product is customer centric and can solve all business problems revolving around ML /AI using it wide variety of features. Only be aware of the overall cost of the product as every additional service is charged based on usage.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
